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MATPOWER: Steady-State Operations, Planning, and Analysis Tools for Power Systems Research and Education

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TLDR
The details of the network modeling and problem formulations used by MATPOWER, including its extensible OPF architecture, are presented, which are used internally to implement several extensions to the standard OPF problem, including piece-wise linear cost functions, dispatchable loads, generator capability curves, and branch angle difference limits.
Abstract
MATPOWER is an open-source Matlab-based power system simulation package that provides a high-level set of power flow, optimal power flow (OPF), and other tools targeted toward researchers, educators, and students. The OPF architecture is designed to be extensible, making it easy to add user-defined variables, costs, and constraints to the standard OPF problem. This paper presents the details of the network modeling and problem formulations used by MATPOWER, including its extensible OPF architecture. This structure is used internally to implement several extensions to the standard OPF problem, including piece-wise linear cost functions, dispatchable loads, generator capability curves, and branch angle difference limits. Simulation results are presented for a number of test cases comparing the performance of several available OPF solvers and demonstrating MATPOWER's ability to solve large-scale AC and DC OPF problems.

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Citations
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Electrical Power and Energy Systems

TL;DR: In this paper, a directional control method for power flows on a set of interface lines between two regions of power system considering static voltage stability margin is developed, where a surface approximation approach is firstly used to obtain the relationship between the interface flow solution and the generation direction of generator (the portion of generation variation in each participating generator to satisfy the desired power increase on the interface and the system loss).
Journal ArticleDOI

Centralized Charging Strategy and Scheduling Algorithm for Electric Vehicles Under a Battery Swapping Scenario

TL;DR: A dynamic crossover and adaptive mutation strategy is introduced into a hybrid algorithm of particle swarm optimization and genetic algorithm and the resulting algorithm is executed on an IEEE 30-bus test system, suggesting that the proposed one is effective and promising for optimal EV centralized charging.
Proceedings ArticleDOI

Detecting stealthy false data injection using machine learning in smart grid

TL;DR: It is shown how normal operations of power networks can be statistically distinguished from the case under stealthy attacks, and two machine-learning-based techniques for stealthy attack detection are proposed.
Journal ArticleDOI

Sparse Overcomplete Representations for Efficient Identification of Power Line Outages

TL;DR: This paper develops a near real-time algorithm for identifying multiple line outages at the affordable complexity of solving a sparse signal reconstruction problem via either greedy steps or coordinate descent iterations.
Journal ArticleDOI

Multistage Adaptive Robust Optimization for the Unit Commitment Problem.

TL;DR: The proposed multistage robust UC model takes into account the time causality of the hourly unfolding of uncertainty in the power system operation process, and can significantly outperform the deterministic UC and existing two-stage robust UC models in both operational cost and system reliability.
References
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Book

Power Generation, Operation, and Control

TL;DR: In this paper, the authors present a graduate-level text in electric power engineering as regards to planning, operating, and controlling large scale power generation and transmission systems, including characteristics of power generation units, transmission losses, generation with limited energy supply, control of generation, and power system security.
Book

Power generation

Journal ArticleDOI

Fast Decoupled Load Flow

TL;DR: This paper describes a simple, very reliable and extremely fast load-flow solution method that is attractive for accurate or approximate off-and on-line routine and contingency calculations for networks of any size, and can be implemented efficiently on computers with restrictive core-store capacities.
Journal ArticleDOI

Power Flow Solution by Newton's Method

TL;DR: The ac power flow problem can be solved efficiently by Newton's method because only five iterations, each equivalent to about seven of the widely used Gauss-Seidel method are required for an exact solution.
Journal ArticleDOI

An open source power system analysis toolbox

TL;DR: Basic features, algorithms, and a variety of case studies are presented in this paper to illustrate the capabilities of the presented tool and its suitability for educational and research purposes.
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